モデル紹介
Official Repository of the paper: *Hyper-SD*. * Aug.26, 2024. 💥💥💥 Our 8-steps and 16-steps **FLUX.1-dev-related LoRAs** are available now! We recommend LoRA scales around 0.125 that is adaptive with training and guidance scale could be kept on 3.5. Lower step LoRAs would be coming soon. 💥💥💥 * Aug.19, 2024. SD3-related CFG LoRAs are available now! We recommend setting guidance scale to 3.0/5.0/7.0 at 4/8/16-steps. Don't forget to fuse lora with a relatively small scale (e.g. 0.125 that is adaptive with training) before inference with diffusers. Note that 8-steps and 16-steps LoRA can also inference on a little bit smaller steps like 6-steps and 12-steps, respectively. Hope to hear your feedback, FLUX-related models will be coming next week. * May.13, 2024. The 12-Steps CFG-Preserved Hyper-SDXL-12steps-CFG-LoRA and Hyper-SD15-12steps-CFG-LoRA is also available now(support 5~8 guidance scales), this could be more practical with better trade-off between performance and speed. Enjoy! * Apr.30, 2024. Our 8-Steps CFG-Preserved Hyper-SDXL-8steps-CFG-LoRA and Hyper-SD15-8steps-CFG-LoRA is available now(support 5~8 guidance scales), we strongly recommend making the 8-step CFGLora a standard configuration for all SDXL and SD15 models!!! * Apr.28, 2024. ComfyUI workflows on 1-Step Unified LoRA 🥰 with TCDScheduler to inference on different steps are released! Remember to install ⭕️ ComfyUI-TCD in your `ComfyUI/custom_nodes` folder!!! You're encouraged to adjust the eta parameter to get better results 🌟! * Apr.26, 2024. Thanks to @Pete for contributing to our scribble demo with larger canvas right now 👏. * Apr.24, 2024. The ComfyUI workflow and checkpoint on 1-Step SDXL UNet ✨ is also available! Don't forget ⭕️ to install the custom scheduler in your `ComfyUI/custom_nodes` folder!!! * Apr.23, 2024. ComfyUI workflows on N-Steps LoRAs are released! Worth a try for creators 💥! * Apr.23, 2024. Our technical report 📚 is uploaded to arXiv! Many implementation details are provided and we welcome more discussions👏. * Apr.21, 2024. Hyper-SD ⚡️ is highly compatible and work well with different base models and controlnets. To clarify, we also append the usage example of controlnet here. * Apr.20, 2024. Our checkpoints and two demos 🤗 (i.e. SD15-Scribble and SDXL-T2I) are publicly available on HuggingFace Repo. Hyper-SD Scribble demo host on 🤗 scribble
主な特徴
特点摘要待依据来源补齐,不凭模型名称推断能力。
制約と注意点
具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。
出典別料金と費用分析
料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。
| 出典・チャネル | 入力 | 出力 | 課金単位 | 収集日時 |
|---|---|---|---|---|
| 確認可能な料金がありません。出典を確認してください。 | ||||
月額の基本トークン費用を試算
試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。
公開評価と実行設定
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
収録済みの全ランキング →よくある質問
オープンウェイトなら無料で商用利用できますか?
必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。
これはリアルタイムの請求料金ですか?
収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。
出典と追跡記録
许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。